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If you learned R in its early days (say, the early 2000's or even the late 1990's) you may still be using some — ahem — old-fashioned ways to accomplish some tasks better served by newer functions and packages. To help those of us who have may missed some of R's more recent innovations, Karl Broman created hipsteR, a guide for "re-educating people who learned R before it was cool". Some of the suggestions Karl offers:

Many companies are considering switching from SAS to R for statistical data analysis, and may be wondering how R compares in performance and data size scalability to the legacy SAS systems (base SAS and SAS/Stat) they are currently using. Performance and scalability for R is exactly what Revolution R Enterprise (RRE) was designed for.

by Matt Sundquist, Plotly co-founder

In a recent post we showed how to use ggplot2 and Plotly’s R API to make shareable, interactive graphs. This week, in response to questions and requests, we’ll highlight how to use Plotly for your workflow. We assume that you are working with Plotly from within R. Let’s get started.

by Joseph Rickert

In last week’s post, I sketched out the history of Generalized Linear Models and their implementations. In this post I’ll attempt to outline how GLM functions evolved in R to handle large data sets.

If you've ever played online multiplayer games like Halo on the Xbox console, you'll know that being matched up with the right teammates and opponents is a critical part of the experience. Getting matched with an opponent that's way above your skill level isn't just demoralizing for you; it's also a waste of time for them (you generally don't advance in the game unless you beat a player that's of a higher level than you).

IFLscience shared this neat video of a neodymium magnet nearly defying gravity as it falls through a copper tube thanks to Lenz's law. The induced current in the copper pipe generates a magnetic force that acts upwards on the magnet, slowing its fall.


That's all for this week. We'll be back again on Monday, have a great weekend!


The official T-shirt for the useR! 2014 R user conference (to be held June 30 - July 3 at UCLA) will be the result of open source contributions and reproducible research.

The organizers of the conference are soliciting designs for the official T-shirt — but there's a catch. The image on the front of the T-shirt will be created entirely with R code, and the R code itself will be displayed on the back.